Chief Marketing Officer | Scrabble

Posted on March 2, 2026

Job Description

<h1 data-end="393" data-start="306">Role: Head – Retention & Data-Led Growth (European Fashion E-Commerce Relaunch)</h1> Location: Delhi (GK2 Office) Reporting To: Promoter Group (India & Europe) Travel: Interaction with Europe-based stakeholders Time Overlap: Evening availability required (Europe time zone alignment) <hr data-end="619" data-start="616" /> <h2 data-end="649" data-start="621">About the Opportunity</h2> A family office with prior successful European fashion acquisitions is launching an asset-light, AI-led fashion e-commerce platform. The group has previously acquired and exited multiple European offline apparel businesses (~€250M scale). Learning from those experiences, the next chapter is a fully asset-light, technology-led model. We are currently acquiring a German e-commerce platform (previous revenue €50–60M annually), which includes: <ul data-end="1246" data-start="1098"> <li data-end="1124" data-start="1098"> 2M+ Facebook followers </li> <li data-end="1154" data-start="1125"> 350K+ Instagram followers </li> <li data-end="1189" data-start="1155"> 1M+ push notification database </li> <li data-end="1246" data-start="1190"> Significant historical transactional & customer data </li> </ul> The online business was shut down ~6 months ago and is now being acquired as a standalone asset. The mandate is to relaunch and monetise this dormant but high-value customer base using data, retention marketing, and AI-enabled personalisation. <hr data-end="1497" data-start="1494" /> <h2 data-end="1520" data-start="1499">Role Objective</h2> To relaunch and scale a European fashion e-commerce platform by: <ul data-end="1843" data-start="1588"> <li data-end="1620" data-start="1588"> Reactivating dormant customers </li> <li data-end="1668" data-start="1621"> Leveraging historical purchase behaviour data </li> <li data-end="1707" data-start="1669"> Driving retention-led revenue growth </li> <li data-end="1749" data-start="1708"> Building a scalable AI-led CRM backbone </li> <li data-end="1843" data-start="1750"> Establishing a repeatable acquisition-to-relaunch playbook for future European acquisitions </li> </ul> This is not a “spend on Meta and Google” role. This is a retention, CRM, and monetisation-first mandate. <hr data-end="1956" data-start="1953" /> <h2 data-end="1986" data-start="1958">Core Responsibilities</h2> <h3 data-end="2037" data-start="1988">1. Customer Reactivation & Retention Strategy</h3> <ul data-end="2260" data-start="2038"> <li data-end="2139" data-start="2038"> Analyse historical customer data (purchase history, frequency, colour/category preference, returns) </li> <li data-end="2184" data-start="2140"> Build cohort-level reactivation strategies </li> <li data-end="2226" data-start="2185"> Design personalised communication flows </li> <li data-end="2260" data-start="2227"> Drive repeat purchase behaviour </li> </ul> <h3 data-end="2294" data-start="2262">2. CRM & Lifecycle Marketing</h3> <ul data-end="2507" data-start="2295"> <li data-end="2359" data-start="2295"> Own email, push notification, and retention marketing strategy </li> <li data-end="2396" data-start="2360"> Build automated lifecycle journeys </li> <li data-end="2451" data-start="2397"> Create segmented campaigns based on behavioural data </li> <li data-end="2507" data-start="2452"> Optimise engagement and conversion from dormant users </li> </ul> <h3 data-end="2538" data-start="2509">3. AI-Led Personalisation</h3> <ul data-end="2719" data-start="2539"> <li data-end="2610" data-start="2539"> Work with tech teams to leverage AI models for product recommendation </li> <li data-end="2668" data-start="2611"> Use purchase history to curate hyper-personalised feeds </li> <li data-end="2719" data-start="2669"> Build “one-to-one marketing” capability at scale </li> </ul> <h3 data-end="2753" data-start="2721">4. Commercial Accountability</h3> <ul data-end="2923" data-start="2754"> <li data-end="2792" data-start="2754"> Drive revenue from existing database </li> <li data-end="2823" data-start="2793"> Improve repeat purchase rate </li> <li data-end="2870" data-start="2824"> Manage contribution margin and return ratios </li> <li data-end="2923" data-start="2871"> Build predictable revenue from reactivated cohorts </li> </ul> <h3 data-end="2950" data-start="2925">5. Hands-On Execution</h3> This is a hands-on build role in the initial phase. The candidate will: <ul data-end="3111" data-start="3023"> <li data-end="3039" data-start="3023"> Set up systems </li> <li data-end="3057" data-start="3040"> Build processes </li> <li data-end="3086" data-start="3058"> Execute campaigns directly </li> <li data-end="3111" data-start="3087"> Scale a team over time </li> </ul> <hr data-end="3116" data-start="3113" /> <h2 data-end="3146" data-start="3118">What This Role Is NOT</h2> <ul data-end="3294" data-start="3148"> <li data-end="3176" data-start="3148"> Not a brand marketing role </li> <li data-end="3217" data-start="3177"> Not a pure paid media acquisition role </li> <li data-end="3260" data-start="3218"> Not a high-level strategic advisory role </li> <li data-end="3294" data-start="3261"> Not a “VP in presentation mode” </li> </ul> This is a builder’s role. <hr data-end="3326" data-start="3323" /> <h2 data-end="3358" data-start="3328">Ideal Candidate Profile</h2> <ul data-end="3837" data-start="3360"> <li data-end="3420" data-start="3360"> 8–12 years in D2C / E-commerce / Retention / CRM marketing </li> <li data-end="3463" data-start="3421"> Strong experience in lifecycle marketing </li> <li data-end="3530" data-start="3464"> Deep understanding of cohort analysis & behavioural segmentation </li> <li data-end="3588" data-start="3531"> Hands-on experience with marketing automation platforms </li> <li data-end="3656" data-start="3589"> Exposure to European or Western markets preferred (not mandatory) </li> <li data-end="3704" data-start="3657"> Data-driven mindset with commercial ownership </li> <li data-end="3757" data-start="3705"> Comfortable working evenings due to Europe overlap </li> <li data-end="3837" data-start="3758"> Age bracket preferred: Early 30s to mid-30s (hands-on digital native mindset) </li> </ul> <hr data-end="3842" data-start="3839" /> <h2 data-end="3881" data-start="3844">Why This Opportunity Is Unique</h2> <ul data-end="4171" data-start="3883"> <li data-end="3928" data-start="3883"> Backed by financially strong promoter group </li> <li data-end="3974" data-start="3929"> Asset-light model (no heavy inventory risk) </li> <li data-end="4024" data-start="3975"> Massive dormant customer base ready to monetise </li> <li data-end="4050" data-start="4025"> AI-first infrastructure </li> <li data-end="4106" data-start="4051"> Platform to scale into multiple European acquisitions </li> <li data-end="4171" data-start="4107"> Opportunity to build a repeatable growth engine across markets </li> </ul>

Job Description